This function draws Blacklights on a canvas using a Support Vector Machine (SVM) algorithm. SVM's are a type of supervised learning algorithm that can be used for classification and regression purposes. The main goal of the SVM technique is to find a hyperplane (decision boundary) that best separates the values in the training dataset. This function draws the predictions from the SVM algorithm fitted on a randomly generated continuous training data set.
n = 1000,
resolution = 500
a string or character vector specifying the color(s) used for the artwork.
a positive integer specifying the number of random data points to generate.
resolution of the artwork in pixels per row/column. Increasing the resolution increases the quality of the artwork but also increases the computation time exponentially.
ggplot object containing the artwork.